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Sequential Recommendation

Sequential recommendation is a sophisticated approach to providing personalized suggestions by analyzing users' historical interactions in a sequential manner. Unlike traditional recommendation systems, which consider items in isolation, sequential recommendation takes into account the temporal order of user actions. This method is particularly valuable in domains where the sequence of events matters, such as streaming services, e-commerce platforms, and social media.

Papers

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Showing 51–75 of 554 papers

TitleStatusHype
LLM-based User Profile Management for Recommender System—0
Unsupervised Graph Embeddings for Session-based Recommendation with Item FeaturesCode0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?Code1
A Contextual-Aware Position Encoding for Sequential RecommendationCode1
SS4Rec: Continuous-Time Sequential Recommendation with State Space ModelsCode0
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential RecommendationCode0
A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation—0
Improving Minimax Group Fairness in Sequential RecommendationCode0
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation—0
Multi-Grained Patch Training for Efficient LLM-based RecommendationCode0
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential RecommendationCode0
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information—0
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation—0
An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec—0
Image Fusion for Cross-Domain Sequential Recommendation—0
RaSeRec: Retrieval-Augmented Sequential RecommendationCode1
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation—0
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models—0
Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential RecommendationCode0
A Survey on Sequential Recommendation—0
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation—0
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRecCode0
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
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